Job Description

AI Robotics Engineer --

Role Summary

We are seeking an

AI Robotics Engineer

to design, develop, and optimize intelligent robotic systems powered by real-time perception, 3D vision, and AI-driven decision making. You will work across robotics software, sensor fusion, and machine learning to build robots that see, understand, and act autonomously.

Key Responsibilities1. Perception & 3D Vision

Develop and optimize algorithms for

3D reconstruction, SLAM, object detection, pose estimation, and spatial mapping

. Integrate stereo cameras, depth sensors, LiDAR, and 3D capture modules. Implement

sensor fusion

pipelines combining vision, IMUs, and other feedback signals. Work with real-time 3D model processing (meshing, point cloud filtering, ICP, segmentation).

2. Robotics Control & Autonomy

Build motion planning, path optimization, and task-level autonomy engines. Develop control algorithms for manipulators, cobots, AMRs, and custom robotic systems. Implement low-latency middleware using ROS/ROS2, microcontrollers, or RTOS.

3. AI & Machine Learning

Design AI models for

robot decision-making, anomaly detection, action prediction, and behavior planning

. Optimize ML models for

on-device deployment

(GPU, NPU, FPGA, or ASIC environments). Work with multimodal inputs: video, depth, IMU, force-torque, and 3D geometry.

4. Systems Integration

Integrate AI modules with hardware: cameras, motor controllers, PLCs, microcontrollers, and embedded boards. Collaborate with mechanical, electrical, and software teams to deliver production-ready robotic systems. Test, calibrate, and validate systems in real industrial or field environments.

Required Qualifications

BS/MS/PhD in Robotics, Computer Vision, Mechanical Engineering, Electrical Engineering, or related field. Strong programming in

Python

and

C++

. Experience with:

ROS/ROS2

, SLAM systems, 3D vision libraries (OpenCV, PCL, Open3D) Deep learning frameworks:

PyTorch / TensorFlow

Real-time embedded development and optimization Solid understanding of kinematics, dynamics, control theory, and state estimation.

Preferred Experience

Worked on

industrial robotics

, welding automation, material handling, or cobot applications. Experience with

FPGA, GPU, or NPU-based acceleration

. Understanding of edge AI deployment and model compression (quantization, TensorRT, ONNX runtime). Familiarity with 3D capture, 4K spatial cameras, and millimeter-level precision systems.
Job Type: Full-time

Pay: ?1,000,000.00 - ?2,000,000.00 per year